End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.837967401725791
+      value: 0.8446788111217641
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9474
-- Accuracy: 0.8380
+- Loss: 1.1819
+- Accuracy: 0.8447
 
 ## Model description
 
@@ -67,19 +67,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4193        | 0.37  | 50   | 0.6334          | 0.7996   |
-| 0.3251        | 0.75  | 100  | 0.5550          | 0.8092   |
-| 0.2903        | 1.12  | 150  | 0.5062          | 0.8255   |
-| 0.2551        | 1.49  | 200  | 0.4837          | 0.8341   |
-| 0.2893        | 1.87  | 250  | 0.4571          | 0.8360   |
-| 0.175         | 2.24  | 300  | 1.0091          | 0.8351   |
-| 0.17          | 2.61  | 350  | 0.6112          | 0.8418   |
-| 0.1838        | 2.99  | 400  | 0.5199          | 0.8389   |
-| 0.1342        | 3.36  | 450  | 1.7694          | 0.8408   |
-| 0.1458        | 3.73  | 500  | 1.9474          | 0.8380   |
-| 0.0828        | 4.1   | 550  | 1.6033          | 0.8428   |
-| 0.096         | 4.48  | 600  | 1.9796          | 0.8418   |
-| 0.2999        | 4.85  | 650  | 1.7943          | 0.8456   |
+| 0.4141        | 0.37  | 50   | 0.5198          | 0.8025   |
+| 0.3263        | 0.75  | 100  | 0.5361          | 0.8245   |
+| 0.284         | 1.12  | 150  | 0.5351          | 0.8360   |
+| 0.2565        | 1.49  | 200  | 0.4917          | 0.8322   |
+| 0.3137        | 1.87  | 250  | 0.4415          | 0.8418   |
+| 0.1998        | 2.24  | 300  | 2.1507          | 0.8360   |
+| 0.1983        | 2.61  | 350  | 0.8461          | 0.8284   |
+| 0.1874        | 2.99  | 400  | 0.6088          | 0.8351   |
+| 0.1321        | 3.36  | 450  | 2.0126          | 0.8466   |
+| 0.3057        | 3.73  | 500  | 1.1819          | 0.8447   |
+| 0.0939        | 4.1   | 550  | 1.6535          | 0.8437   |
+| 0.0894        | 4.48  | 600  | 3.4434          | 0.8408   |
+| 0.1519        | 4.85  | 650  | 3.1519          | 0.8428   |
 
 
 ### Framework versions